Curriculum Vitae

Education

City University of Hong Kong, 2022 - now
- Ph.D candidate in Data Science, advisor: Xiangyu Zhao
University of Alberta, 2017 summer
- International Undergraduate Summer Enrichment Program in Mathematics
Xi’an Jiaotong University, 2016 - 2020
- Mathematics Pioneering Program
- B.S. in Statistics

2024.01 - Present Intern
- Tencent
2021.08 - 2021.10 Research Assistant
- Worked on Causal Inference
- Advisor: Ruocheng Guo
- City University of Hong Kong
2020.07 - 2021.05 Research Assistant
- Worked on Evolutionary Algorithm and Reinforcement Learning
- Advisor: Jianyong Sun
- Xi’an Jiaotong University
2019.07 - 2019.08 Intern
- Worked on fake license plate recognition
- iFlytek
2019.06 - 2019.07 Intern
- Worked on text classification algorithm
- Xi’an Webber Software

2020.02 - 2021.06 Improve hyper parameters in Differential Evolution Algorithm by RL methods
2019.11 - 2020.11 Amortized Variational Deep Q Network (AVDQN)
2019.01 - 2019.01 Model on the Dragons in Game of Thrones in MCM/ICM
2018.06 - 2018.08 Study on the Dynamic Model of Hepatitis B Virus (HBV) with Antiviral Therapy
2017.07 - 2017.08 Study on the Theory of Drone Formation

2022.05 Attended BAAI 2022

2022.05 Attended the YSSNLP 2022

2022.05 Attended the AIS 2022

2022.04 Attended the tutorial Automated Machine Learning for Recommendations at WWW’22

2022.03 Paper ‘Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm’ submitted to TETCI

2021.04 Attended the tutorial Deep Learning for Recommendations: Fundamentals and Advances

2021.03 Attended the Forefront Forum on Reinforcement Learning and Operation Optimization

2020.12 Presented our AVDQN at Deep Reinforcement Learning Workshop NeurIPS 2020 at poster session

2020.11 Paper ‘Amortized Variational Deep Q Network’ accepted

2020.09 Attended the Seminar ‘Self-Play and Zero-Shot (Human-AI) Coordination in Hanabi’ by Jakob Foerster

2020.09 Attended the Forefront Forum on Reinforcement Learning Based Optimization Methods in Xi’an

2019.11 Attended the First National Big Data and Intelligent Processing Conference in Xi’an

C++, C#, Python (TensorFlow, PyTorch), Matlab, R, Latex, Berkeley Madonna, EViews